Software Engineering, Senior Director - Kernels

d-Matrix

full-time

Posted on: 8/14/2025

Location: California • 🇺🇸 United States

✨ AI Apply

💰 $180,000 - $300,000 per year

Senior

CloudLinuxPythonPyTorchTensorflow

About the role

The role requires you to be part of the team that helps productize the SW stack for our AI compute engine.
As part of the Software team, you will be responsible for the development, enhancement, and maintenance of software kernels for next-generation AI hardware.
You possess experience building software kernels for HW architectures and map algorithms to the architecture.
You understand how to map computational graphs generated by AI frameworks to the underlying architecture.
You have had past experience working across all aspects of the full stack tool chain and understand the nuances of what it takes to optimize and trade-off various aspects of hardware-software co-design.
You are able to build and scale software deliverables in a tight development window.
You will work with a team of compiler experts to build out the compiler infrastructure working closely with other software (ML, Systems) and hardware (mixed signal, DSP, CPU) experts in the company.

MS or PhD in Computer Engineering, Math, Physics or related degree with 12+ years of industry experience.
Strong grasp of computer architecture, data structures, system software, and machine learning fundamentals.
Proficient in C/C++ and Python development in Linux environment and using standard development tools.
Experience implementing algorithms in high level languages such as C/C++, Python.
Experience implementing algorithms for specialized hardware such as FPGAs, DSPs, GPUs, AI accelerators using libraries such as CuDA etc.
Experience in implementing operators commonly used in ML workloads - GEMMs, Convolutions, BLAS, SIMD operators for operations like softmax, layer normalization, pooling etc.
Experience with development for embedded SIMD vector processors such as Tensilica.
Self-motivated team player with a strong sense of ownership and leadership.
Prior startup, small team or incubation experience.
Experience with ML frameworks such as TensorFlow and.or PyTorch.
Experience working with ML compilers and algorithms, such as MLIR, LLVM, TVM, Glow, etc.
Experience with a deep learning framework (such as PyTorch, Tensorflow) and ML models for CV, NLP, or Recommendation.
Work experience at a cloud provider or AI compute / sub-system company.